5921 Open source projects that are alternatives of or similar to Ventilator

Machine Learning Projects and Learning Content

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Supreme Court prediction project

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Generalized linear mixed-effect model in Python

Clockwork Convnets for Video Semantic Segmenation

Demo of running NNs across different frameworks

机器学习算法项目

Educational material on using the TensorFlow Estimator framework for text classification

Pytorch tutorials for Neural Style transfert

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

Code for ECCV2018 paper: Part-Aligned Bilinear Representations for Person Re-Identification

Python Feature Engineering Cookbook, published by Packt

Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl

using CNN to do move prediction and board evaluation for the board game Go

Codes for my mathematical statistics course

Cloud Dataproc: Samples and Utils

MXNet Tutorial for NVidia GTC 2016.

This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

DEPRECATED - DO NOT USE

Interface for people to use my model which predicts which techniques one should use to solve a competitive programming problem to get an AC

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Python script to download the celebA-HQ dataset from google drive

Introduction to Python for Data Science for PyCon 2018

Loss Landscapes of Regularized Linear Autoencoders

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Official reinforcement learning environment for demand response and load shaping

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Machine Learning Tutorial in IPython Notebooks

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

Short tutorial for TensorFlow, designed to be presented in-person

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

A PyTorch implementation of OpenAI's REPTILE algorithm

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

个人深度学习项目整理

《左手MongoDB，右手Redis——从入门到商业实战》书籍配套源代码。

A series of Jupyter notebook to learn Google Earth Engine with Python

Various material around private machine learning, some associated with blog

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Content for my Astronomy 599 Course: Intro to scientific computing in Python

深度学习相关教程

Notebooks and other materials for Reading and Writing Electronic Text

Simple Training and Deployment of Fast End-to-End Binary Networks

ML study process record

"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Resources for STA 633 class

Reinforcement Learning examples implementation and explanation